| HGNC Family | Non-coding RNAs |
| Name | microRNA 497 |
| Description | microRNAs (miRNAs) are short (20-24 nt) non-coding RNAs that are involved in post-transcriptional regulation of gene expression in multicellular organisms by affecting both the stability and translation of mRNAs. miRNAs are transcribed by RNA polymerase II as part of capped and polyadenylated primary transcripts (pri-miRNAs) that can be either protein-coding or non-coding. The primary transcript is cleaved by the Drosha ribonuclease III enzyme to produce an approximately 70-nt stem-loop precursor miRNA (pre-miRNA), which is further cleaved by the cytoplasmic Dicer ribonuclease to generate the mature miRNA and antisense miRNA star (miRNA*) products. The mature miRNA is incorporated into a RNA-induced silencing complex (RISC), which recognizes target mRNAs through imperfect base pairing with the miRNA and most commonly results in translational inhibition or destabilization of the target mRNA. The RefSeq represents the predicted microRNA stem-loop. [provided by RefSeq, Sep 2009] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nStudies across a broad spectrum of malignancies have revealed that miR‑497 predominantly functions as a tumor‐suppressive microRNA. Its frequently reduced expression in cancers such as primary peritoneal carcinoma, gastric, breast, colorectal, hepatocellular, and non‑small cell lung cancer is associated with deregulated cell cycle progression, impaired apoptosis, and chemoresistance. Mechanistically, miR‑497 directly targets several key oncogenic drivers—for example, IGF1‐R, BCL2, CCNE1, and eIF4E—thereby reducing tumor cell proliferation, survival, and colony formation. In many cases, restoration of miR‑497 expression re‐sensitizes resistant cells to chemotherapeutics and attenuates malignant phenotypes."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "13"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn addition to curbing tumor cell growth, miR‑497 plays a crucial role in modulating angiogenesis, invasion, and metastasis. Reduced miR‑497 expression correlates with enhanced angiogenic signaling via upregulation of VEGF‐A, increased activation of VEGFR2 and its downstream pathways (PI3K/AKT and Raf/MEK/ERK), and deregulation of other pro‐metastatic factors such as SMURF1 and matrix metalloproteinases. Consequently, forced expression of miR‑497 not only diminishes endothelial cell tube formation and migratory capacity but also suppresses metastatic spread both in vitro and in vivo."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "14", "end_ref": "30"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nA further layer of complexity in miR‑497 regulation arises from its interactions with long non‑coding RNAs and other competing endogenous RNAs, which can sequester miR‑497 and thereby upregulate its oncogenic targets. In colorectal, gastric, and breast cancers, for example, lncRNAs such as SNHG1, LINC00662, HOXC13‑AS, and SNHG16 act as molecular sponges to downregulate miR‑497 (or its closely related isoform miR‑497‑5p), leading to enhanced expression of targets like MACC1, YAP1, PTEN, PDK3, SERPINE1, SMAD7, KSR1, PD-L1, and PIM1. Other studies have highlighted miR‑497’s role in modulating cellular responses under hypoxic conditions (as seen in glioma) and in non‑oncologic settings including bone homeostasis, diabetic nephropathy, and even skin carcinogenesis through effects on epithelial–mesenchymal transition. Overall, these findings not only underscore the multifaceted regulatory networks involving miR‑497 but also illustrate its potential as both an informative biomarker and a therapeutic target."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "31", "end_ref": "43"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Richard J Flavin, Paul C Smyth, Alexandros Laios, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-497 targets insulin-like growth factor 1 receptor and has a tumour suppressive role in human colorectal cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncogene (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/onc.2012.214"}], "href": "https://doi.org/10.1038/onc.2012.214"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22710713"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22710713"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Min Luo, Dongxiang Shen, Xiaoning Zhou, et al. "}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-497 is a potential prognostic marker in human cervical cancer and functions as a tumor suppressor by targeting the insulin-like growth factor 1 receptor."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Surgery (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.surg.2012.12.004"}], "href": "https://doi.org/10.1016/j.surg.2012.12.004"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23453369"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23453369"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Laura Creevey, Jacqueline Ryan, Harry Harvey, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "MicroRNA-497 inhibition of ovarian cancer cell migration and invasion through targeting of SMAD specific E3 ubiquitin protein ligase 1."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biochem Biophys Res Commun (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.bbrc.2014.05.053"}], "href": "https://doi.org/10.1016/j.bbrc.2014.05.053"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24858688"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24858688"}]}, {"type": "r", "ref": 15, "children": [{"type": "t", "text": "Jin Lan, Yajun Xue, Huairui Chen, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "MiR-497 downregulation contributes to the malignancy of pancreatic cancer and associates with a poor prognosis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncotarget (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncotarget.2184"}], "href": "https://doi.org/10.18632/oncotarget.2184"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25149530"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25149530"}]}, {"type": "r", "ref": 17, "children": [{"type": "t", "text": "Wei Wang, Fang Ren, Qinghua Wu, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "MiR-497 decreases cisplatin resistance in ovarian cancer cells by targeting mTOR/P70S6K1."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncotarget (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncotarget.4762"}], "href": "https://doi.org/10.18632/oncotarget.4762"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26238185"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26238185"}]}, {"type": "r", "ref": 20, "children": [{"type": "t", "text": "Katharina Troppan, Kerstin Wenzl, Martin Pichler, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-199a and miR-497 Are Associated with Better Overall Survival due to Increased Chemosensitivity in Diffuse Large B-Cell Lymphoma Patients."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Mol Sci (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/ijms160818077"}], "href": "https://doi.org/10.3390/ijms160818077"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26251897"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26251897"}]}, {"type": "r", "ref": 21, "children": [{"type": "t", "text": "Chongbiao Huang, Ruijue Ma, Jie Yue, et al. 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| Synonyms | HSA-MIR-497, MIRN497, MIR-497 |
| NCBI Gene ID | 574456 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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MIR497 has 761 functional associations with biological entities spanning 6 categories (molecular profile, disease, phenotype or trait, functional term, phrase or reference, chemical, cell line, cell type or tissue, gene, protein or microRNA) extracted from 16 datasets.
Click the + buttons to view associations for MIR497 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR497 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of MIR497 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of MIR497 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR497 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| CTD Gene-Disease Associations | diseases associated with MIR497 gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR497 gene from the ENCODE Histone Modification Site Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of MIR497 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR497 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with MIR497 gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset. | |
| GeneSigDB Published Gene Signatures | PubMedIDs of publications reporting gene signatures containing MIR497 from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of MIR497 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR497 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR497 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of MIR497 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR497 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| WikiPathways Pathways 2014 | pathways involving MIR497 protein from the Wikipathways Pathways 2014 dataset. | |